TeamHCMUS: A Concept-Based Information Retrieval Approach for Web Medical Documents

Abstract. It's difficult for laypeople, even clinicians, to understand eHealth contents found in the web medical documents. With the objective to build a health search engine, task 2 of 2015 CLEF eHealth aims to detect levels of accuracy of information retrieval systems when searching for web medical documents. In this task, our approach is to integrate a retrieval of medical concepts into the preprocessing of corpora. This means that all terms in the documents that are not related to medicine are removed before indexing. We also expand queries for searching more effectively. In general, our results are not better than other participants' in doing task 2 except some queries. When using integration of extracting medical concepts and query expansion based on laypeople's queries, searching retrieval is also lower. It can be explained partly that laypeople's queries are not commonly included medical terms or only contain features painting their health situations. In addition, we also give a brief statement of the main points of an estimation of readability which is a significant assessment referred by CLEF eHealth near future. Introduction Laypeople as well as clinicians find it hard to comprehend the eHealth documents which are retrieved from searching for necessary information on the Internet. Their problems are how to understand professional terms more exactly. It's the third year when CLEF eHealth continues the purpose of promotion in doing research and finding out advanced methods to build a search engine system for meeting users' requirements of searching for medical information